code: def _tile_drop_directly(cls, op: "DataFrameDropNA"):
      in_df = op.inputs[0]
      out_df = op.outputs[0]
  
      chunks = []
      for c in in_df.chunks:
          new_shape = list(c.shape)
          new_shape[0] = np.nan
  
          params = c.params.copy()
          params["index_value"] = parse_index(
              None, c.key, c.index_value.key
          )
          params["shape"] = tuple(new_shape)
  
          new_op = op.copy().reset_key()
          new_op._drop_directly = True
          chunks.append(new_op.new_chunk([c], **params))
  
      new_nsplits = list(in_df.nsplits)
      new_nsplits[0] = (np.nan,) * len(in_df.nsplits[0])
  
      new_op = op.copy().reset_key()
      params = out_df.params.copy()
      params.update(dict(chunks=chunks, nsplits=new_nsplits))
      return new_op.new_tileables([in_df], **params)
  
imports: import itertools
  import numpy
  import pandas
  from ...None import opcodes
  from ...core import OutputType, recursive_tile
  from ...config import options
  from ...serialization.serializables import AnyField, BoolField, StringField, Int32Field
  from ...utils import no_default, pd_release_version
  from ..align import align_dataframe_series
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index, validate_axis
label_desc: Use image node_id 10 for calling the DataFrameDropNA obj's underlying member method code with example usage: obj._tile_drop_directly(cls, op) and returns: new_op